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Sorry for the delay in the response. Could you fix the problem? I am wondering whether it might be a matter of memory (130,000 variables). Which is your experimental design?
I use ARSyNbac to remove the noise of my expression matrix (60 x 130000) with following commond:
arsyn <- ARSyNbac(data_RNA, modelName = "RNA", beta = 0.5, batchEstimation = FALSE, filterNoise = TRUE)
But it spend several hours without finishing this work.
So, how to accelerate this process?
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